Space-Air-Ground Integrated Mobile Crowdsensing for Partially Observable Data Collection by Multi-Scale Convolutional Graph Reinforcement Learning

Mobile crowdsensing (MCS) is attracting considerable attention in the past few years as a new paradigm for large-scale information sensing. Unmanned aerial vehicles (UAVs) have played a significant role in MCS tasks and served as crucial nodes in the newly-proposed space-air-ground integrated networ...

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Detalles Bibliográficos
Autores principales: Ren, Yixiang, Ye, Zhenhui, Song, Guanghua, Jiang, Xiaohong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140918/
https://www.ncbi.nlm.nih.gov/pubmed/35626523
http://dx.doi.org/10.3390/e24050638

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140918/
https://www.ncbi.nlm.nih.gov/pubmed/35626523
http://dx.doi.org/10.3390/e24050638

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